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. 2020 Mar 6;15(3):401-403.
doi: 10.2215/CJN.11921019. Epub 2020 Feb 20.

Association of APOL1 Risk Genotype and Air Pollution for Kidney Disease

Ishan Paranjpe  1   2 , Kumardeep Chaudhary  1 , Manish Paranjpe  3 , Ross O'Hagan  1 , Sayan Manna  1 , Suraj Jaladanki  1 , Arjun Kapoor  1 , Carol Horowitz  4 , Nicholas DeFelice  5 , Richard Cooper  5 , Benjamin Glicksberg  2 , Erwin P Bottinger  2   6 , Allan C Just  7 , Girish N Nadkarni  1   2   6
Affiliations

Association of APOL1 Risk Genotype and Air Pollution for Kidney Disease

Ishan Paranjpe et al. Clin J Am Soc Nephrol. .
No abstract available

Keywords: ESRD; New Jersey; New York City; United States; air pollution; apolipoprotein L1; biological specimen banks; chronic renal insufficiency; data systems; diabetes mellitus type 2; female; follow-up studies; genetic renal disease; genotype; human APOL1 protein; humans; hypertension; kidney; meteorology; middle aged; particulate matter; penetrance; renal insufficiency; risk factors; urban population.

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Figures

Figure 1.
Figure 1.
Study methodology and APOL1 interaction for CKD risk. (A) Flowchart of methodology used in this study. (B) Proportion of CKD/kidney failure stratified by APOL1 genotype with higher average PM2.5 exposure in the year before enrollment. Shaded gray regions represent 95% confidence intervals obtained from a logistic regression model adjusted for age, sex, body mass index, 10 genetic principal components, history of type 2 diabetes, Medicaid status, and baseline eGFR. For purposes of visualization of the slopes, the values of continuous predictors are computed at the cohort mean of each covariate. Frequency distribution at top represents the distribution of mean PM2.5 in our cohort. NASA, National Aeronautics and Space Administration; PC, principal component; PM2.5, fine particulate matter <2.5 µm; T2D, type 2 diabetes.
See this image and copyright information in PMC

References

    1. Parsa A, Kao WH, Xie D, Astor BC, Li M, Hsu CY, Feldman HI, Parekh RS, Kusek JW, Greene TH, Fink JC, Anderson AH, Choi MJ, Wright JT Jr., Lash JP, Freedman BI, Ojo A, Winkler CA, Raj DS, Kopp JB, He J, Jensvold NG, Tao K, Lipkowitz MS, Appel LJ; AASK Study Investigators; CRIC Study Investigators: APOL1 risk variants, race, and progression of chronic kidney disease. N Engl J Med 369: 2183–2196, 2013 - PMC - PubMed
    1. Tzur S, Rosset S, Shemer R, Yudkovsky G, Selig S, Tarekegn A, Bekele E, Bradman N, Wasser WG, Behar DM, Skorecki K: Missense mutations in the APOL1 gene are highly associated with end stage kidney disease risk previously attributed to the MYH9 gene. Hum Genet 128: 345–350, 2010 - PMC - PubMed
    1. Bowe B, Xie Y, Li T, Yan Y, Xian H, Al-Aly Z: Particulate matter air pollution and the risk of incident CKD and progression to ESRD. J Am Soc Nephrol 29: 218–230, 2018 - PMC - PubMed
    1. Just AC, De Carli MM, Shtein A, Dorman M, Lyapustin A, Kloog I: Correcting measurement error in satellite aerosol optical depth with machine learning for modeling PM2.5 in the Northeastern USA. Remote Sens (Basel) 10: 803, 2018 - PMC - PubMed
    1. Nadkarni GN, Gottesman O, Linneman JG, Chase H, Berg RL, Farouk S, Nadukuru R, Lotay V, Ellis S, Hripcsak G, Peissig P, Weng C, Bottinger EP: Development and validation of an electronic phenotyping algorithm for chronic kidney disease. AMIA Annu Symp Proc 2014: 907–916, 2014 - PMC - PubMed

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